A. Course Description 

Learn the fundamentals of data collection using industry-leading tools like ODK and Kobo Toolbox. Design and implement efficient data collection tools, manage workflows, and ensure data quality. Master mobile-based data collection and offline survey management. Unlock the power of Python for data analysis, manipulation, and visualization. Learn popular libraries like Pandas, NumPy, and Matplotlib. Develop skills in data cleaning, preprocessing, and visualization. Apply Python programming to real-world data analytics problems. Explore the world of machine learning and its applications in data analytics. Learn popular algorithms like regression, classification, and clustering. Master model evaluation metrics, hyperparameter tuning, and data preprocessing. Apply machine learning techniques to solve real-world problems. Transform data into insights with Power BI. Learn to create interactive dashboards, reports, and visualizations. Master data modeling, DAX calculations, and data storytelling. Develop skills in presenting complex data insights effectively to stakeholders.

B. Learning Outcome 

1. Design and implement efficient data collection tools and workflows, ensuring data quality and integrity.
2. Apply Python programming skills to analyze, manipulate, and visualize data, using popular libraries like Pandas, NumPy, and Matplotlib.
3. Develop and apply machine learning algorithms to solve real-world problems, evaluating model performance and optimizing hyperparameters.
4. Create interactive and informative data visualizations using Power BI, effectively communicating insights and trends to stakeholders.